Apparatus and method for digital multiplication using redundant binary arithmetic

ABSTRACT

A digital multiplication apparatus and method adopting a redundant binary arithmetic is provided. In this digital multiplication apparatus, when two numbers X and Y are multiplied using a radix-2k number system, a data converter data-converts the m-bit number Y into m/k-digit data D(=D m,k−1 D m/k−2  . . . D i  . . . D i D 0 ). A partial product calculator converts each of the digits Di of the number Y converted by the data converter into a combination of the coefficients of a fundamental multiple, multiplies the combination by the number X, and outputs the product as a redundant binary partial product. A redundant binary adder sums the partial products for all of the digits of the converted number Y. A redundant binary (RB)-normal binary (NB) converter converts the redundant binary sum into a normal binary number and outputs the converted normal binary sum as the product of the two numbers. Therefore, even when the radix extends, the burden upon hardware can be minimized. Also, many systems having multipliers serving as important components can be more simply constructed.

BACKGROUND OF THE INVENTION

[0001] 1. Field of the Invention

[0002] The present invention relates to a parallel multiplier, and more particularly, to an apparatus and method for digital multiplication adopting a redundant binary arithmetic technique to generate a partial product.

[0003] 2. Description of the Related Art

[0004] With a recent trend toward system-on-a-chip (SoC), the functional blocks constituting an integrated circuit are being demanded to occupy a small area of hardware while having improved performances. A multiplier is representative of the functional blocks, and plays an important role in many high-performance microprocessors or signal processing chips. Hence, a technique of reducing the size of a multiplier while maintaining the performance thereof is required to conform with the SoC trend.

[0005] In a multiplication arithmetic algorithm used in conventional multipliers, partial products are obtained using a modified booth's algorithm (MBA) and are added up by a carry-save adder having a structure such as a Wallace-tree, to thereby obtain a final multiplication result. This multiplication is usually achieved using a normal binary arithmetic. Here, the partial products can be summed up using a redundant binary arithmetic technique instead of a normal binary arithmetic technique. The characteristic of a redundant binary arithmetic that there is no continuous propagation of carry is the property of an adder required by a general arithmetic for summing up partial products.

[0006] A conventional arithmetic method performed by a multiplier using a redundant binary arithmetic will now be described. In this method, first, partial products are produced from input values by a normal binary arithmetic operation using an MBA.

[0007] A conventional multiplication method using the above-described MBA uses a radix-4 numeration system. That is, when numbers X and Y are multiplied, the number Y having m bits is expressed as in Equation 1 according to the MBA: $\begin{matrix} {Y = {\sum\limits_{i - 0}^{\frac{m}{2} - 1}\quad {D_{i} \cdot 4^{i}}}} & (1) \end{matrix}$

[0008] wherein Di corresponds to one among a group of values −2, −1, 0, 1 and 2, and is obtained by encoding three consecutive bits Y_(i+2), y_(i+1), and y_(i) of the number Y by a calculation of −2·y_(i+2)+y_(i+1)+y_(i). Every three consecutive bits of the m bits of number Y are grouped and consecutive groups overlap by one bit such that the last bit of each group is the first bit of the following group, thus $\left\lceil \frac{m}{2} \right\rceil$

[0009] 3-bit groups are obtained, and thus the number m of partial products is reduced to $\left\lceil {\frac{m}{2} + 1} \right\rceil.$

[0010] Here, [x] denotes the smallest integer among integers that are greater than x. The reason why +1 is added is that correction bits to be added to the least significant bit of each of the partial products due to the 2's complement arithmetic are collected and the collected result is considered as a single partial product. The method of grouping three bits to encode m-bit Y in the MBA system is illustrated in Equation 2: $\begin{matrix} {\begin{matrix} {\quad {\cdots \quad D_{\frac{i}{2}}\quad D_{{\frac{i}{2} - 2}\quad}\cdots \quad D_{0}}} \\ {\underset{}{y_{m - 1}}\cdots \quad \underset{}{\overset{}{y_{i - 1}}y_{i - 2}\overset{}{y_{i - 3}}}\cdots \quad \underset{}{y_{2}y_{1}}\overset{}{y_{0}\quad o}} \end{matrix}\quad {D_{\frac{m}{2} - 1}\quad \cdots \quad D_{{\frac{i}{2} - 1}\quad}\cdots \quad D_{1}}} & (2) \end{matrix}$

[0011] Equation 2 is applied when m is an even number, and always adds ‘0’ next to the least significant bit. In this case, since the MBA performs encoding using a radix-4, every three consecutive bits of the m bits of number Y are grouped and consecutive groups overlap by one bit such that the last bit of each group is the first bit of the following group, as shown in Equation 2. In a general case where the m-bit number Y is encoded in a 2^(k) radix numeration system, every k+1 consecutive bits of the m bits of number Y are grouped and consecutive groups overlap by one bit such that the last bit of each group is the first bit of the following group. Here, partial products formed in normal binary numbers are produced by multiplying Di by X.

[0012] Next, the partial products formed in normal binary numbers are converted into partial products expressed in redundant binary numbers. That is, the sum of partial products A and B formed in normal binary numbers can be expressed as in Equation 3:

A+B=A−(−B)=A−({overscore (B)}+1)=(A−{overscore (B)})−1  (3)

[0013] Here, if a−b is defined to be (a,b), it can be seen from Equation 4 that −1 is equal to (0,1):

A−{overscore (B)}≡(A,{overscore (B)})  (4)

[0014] wherein the right side represents the redundant binary number of the result of A+B arithmetic operation. In the right side of Equation 3, −1, which is finally added to the least significant bit, is a correction bit to be added by the 2's complement arithmetic operation. Here, −1 can be expressed in a redundant binary number (0,1). When Equation 3 is adopted in the addition of partial products formed in normal binary numbers, the sum of partial products formed in redundant binary numbers can be obtained by pairing many normal binary partial products and inverting one of two normal binary partial products.

[0015] Consequently, when m-bit multiplication input values are multiplied by the MBA, $\left\lceil \frac{m}{2} \right\rceil + 1$

[0016] normal binary partial products are produced. Thus, r normal binary partial products are once summed while being converted into redundant binary numbers, resulting in the $\left\lceil \frac{r}{2} \right\rceil$

[0017] sum expressed in redundant binary numbers.

[0018] These redundant binary numbers are summed by a redundant binary arithmetic operation on the basis of an addition rule as shown in Table 1, thereby obtaining the final product of X and Y, the product appearing in a redundant binary form.

[0019] Table 1 denotes a rule of summing redundant binary numbers using a conventional arithmetic technique. In Table 1, (a_(l) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) denote two redundant binary numbers intended to be added, (c_(l) ⁺,c_(l) ⁻) and (s_(l) ⁺,s_(l) ⁻) represent an intermediate carry and an intermediate sum, respectively, which are expressed in redundant binary numbers, when two numbers are added, and “either” denotes that it does not matter whether ‘0’ or ‘1’ is selected as h_(i−1). Also, h_(i−1) denotes an intermediate parameter made to prevent continuous carry propagation. Values of (a_(i) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) when h_(i) is 1 are bolded values. In the case of h_(i)=1, value −1 can be possibly propagated as a carry. TABLE 1 (a_(l) ⁺,a_(l) ⁻) CASE (b_(l) ⁺,b_(l) ⁻) h_(i-1) (c_(l) ⁺,c_(l) ⁻) (s_(l) ⁺,s_(l) ⁻) 1 (0,0) (0,1) either (0,0) (0,0) (1,0) (0,0) (1,0) (0,1) 2 (0,1) (0,0) 0 (0,0) (0,1) (0,0) (0,1) 1 (0,1) (1,0) 3 (1,0) (0,0) 0 (1,0) (0,1) (0,0) (1,0) 1 (0,0) (1,0) 4 (0,1) either (0,1) (0,0) (0,1) 5 (1,0) either (1,0) (0,0) (1,0)

[0020] Referring to Table 1, an addition of two redundant binary numbers [(a_(l) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻)] corresponds to one among the five cases described above.

[0021] In Case 1 that the sum of two redundant binary numbers is zero, both the intermediate carry and the intermediate sum are 0. In Case 2 that the sum of two redundant binary numbers is −1, if there is a possibility that −1 is propagated from the next lower digit, that is, if h_(i) is 1, the intermediate sum and the intermediate carry are 1 and −1, respectively, so that −1 is offset by the intermediate sum of 1 even if −1 is propagated. Thus, the addition can be carried out without carry propagation. In Case 3 that the sum of two redundant binary numbers is 1, if there is a possibility that 1 is propagated from the next lower digit, that is, if h_(i) is 0, the intermediate sum and the intermediate carry are −1 and 1, respectively, so that 1 is offset by the intermediate sum of −1 even if 1 is propagated. Thus, the addition can be carried out without carry propagation. In Case 3, if h_(i) is 1, there is a possibility that −1 is propagated from the next lower digit, so that the intermediate sum and the intermediate carry are 1 and 0, respectively. Thus, the value −1 is offset by the intermediate sum of 1 even if −1 is propagated, so that there is no further propagation of carry. In Case 4 that the sum of two redundant binary numbers is −2, and Case 5 that the sum is 2, there is no further propagation of carry, and the intermediate sum is 0, regardless of the value of carry to be propagated from the next lower digit. The intermediate carry for Case 4 is −1, and the intermediate carry for Case 5 is 1. When two redundant binary numbers are summed as shown in Table 1, a case that both (a_(l) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) take the state (1,1) is excluded on the assumption that (1,1) has already been transformed to (0,0). The final sum (d_(i) ⁺,d_(l) ⁻) of two redundant binary numbers according to the rule shown in Table 1 can be expressed as in Equation 5: $\begin{matrix} \begin{matrix} {{d_{i}^{+} = {\left( {s_{i}^{+} + c_{i - 1}^{+}} \right) \cdot \overset{\_}{\left( {s_{i}^{-} + c_{i - 1}^{-}} \right)}}},{d_{i}^{-} = {\overset{\_}{\left( {s_{i}^{+} + c_{i - 1}^{+}} \right)} \cdot \left( {s_{i}^{-} + c_{i - 1}^{-}} \right)}},} \\ {d_{i}^{+} = {\overset{\_}{\left( {l_{i} \oplus h_{i - 1}} \right)} \cdot \left( {{\overset{\_}{l_{i - 1}} \cdot k_{i - 1}} + {l_{i - 1} \cdot \overset{\_}{h_{i - 2}}}} \right)}} \\ {d_{i}^{-} = {\overset{\_}{\left( {l_{i} \oplus h_{i - 1}} \right)} \cdot \overset{\_}{\left( {{\overset{\_}{l_{i - 1}} \cdot k_{i - 1}} + {l_{i - 1} \cdot \overset{\_}{h_{i - 2}}}} \right)}}} \\ {{l_{i} = {\left( {a_{i}^{+} + a_{i}^{-}} \right) \oplus \left( {b_{i}^{+} + b_{i}^{-}} \right)}},{h_{i} = {a_{i}^{-} + b_{i}^{-}}},{k_{i} = {a_{i}^{+} + b_{i}^{+}}}} \end{matrix} & (5) \end{matrix}$

[0022] if the radix of a number system used increases, the number of partial products further decreases. In general, when an 2^(k) radix is used, the number of partial products decreases to $\left\lceil \frac{m}{k} \right\rceil + 1.$

[0023] In the case of the multiplication of m-bit numbers X and Y using a 2^(k) radix number system, the number Y is generally expressed as in Equation 6: $\begin{matrix} {Y = {{\sum\limits_{i = 0}^{\frac{m}{k} - 1}\quad {D_{i} \cdot 2^{ki}}} = {{D_{\frac{m}{k} - 1}D_{\frac{m}{k} - 2}\quad \cdots \quad D_{i}\quad \cdots \quad D_{1}D_{0}} = D}}} & (6) \end{matrix}$

[0024] wherein $D_{i} = {y_{{ki} - 1} + \left( {\sum\limits_{j = 1}^{k - 1}\quad {y_{{ki} + j - 1} \cdot 2^{j - 1}}} \right) - {y_{{k{({i + 1})}} - 1} \cdot {2^{k - 1}.}}}$

[0025] In the case of a radix-4 MBA, D_(i) by which X is multiplied is a value selected from a group of values {−2, −1, 0, 1, 2}, so that a partial product becomes one among values {−2X, −X, 0, X, 2X}. The multiples of X can be simply obtained by left-shifting X, so that they place little burden on hardware. However, as the radix of a number system used increases, the burden on hardware increases. For example, in the case of a multiplication having a 2^(k) radix, D_(i) has a value selected from a group of values {−2^(k−1), −2^(k−1)+1, ···, 0, ···, 2^(k−1)−1, 2^(k−1)}. That is, the number of multiples of X that can be obtained by multiplying X by D_(i) is 2^(k)+1, and they are {−2^(k−1)X, (−2^(k−1)+1)X, ···, 0X, ···, (2^(k−1)−1)X, 2^(k−1)X}. For example, in the case of a radix-64, k is 6, and a total of 65 multiples of X are required. A multiple of X such as 2^(i)X among the multiples can be simply obtained by left-shifting X by i bits. However, odd multiples of X such as (2^(i)+1)X cannot be obtained by the left-shifting operation. That is, in order to obtain 3X, a separate addition operation such as X+2X is required.

[0026] Consequently, when a multiplier using a redundant binary arithmetic performs a conventional arithmetic operation, the above-described separate arithmetic operation must be performed on each of the odd multiples of X. Therefore, the number of additional addition operations increases as the radix of a number system used for multiplication increases, so that a burden upon hardware increases.

SUMMARY OF THE INVENTION

[0027] To solve the above problem, an objective of the present invention is to provide a digital multiplication apparatus adopting a redundant binary arithmetic, by which the amount of hardware required can be reduced by applying the redundant binary arithmetic to produce partial products.

[0028] Another objective of the present invention is to provide a digital multiplication method performed by a digital multiplication apparatus adopting the redundant binary arithmetic.

[0029] To achieve the first objective, the present invention provides a digital multiplication apparatus adopting a redundant binary arithmetic for multiplying two numbers X and Y using a radix-2 k number system, the apparatus including: a data converter for data-converting the m-bit number Y into m/k-digit data D(=D_(m/k−1)D_(m/k−2) . . . D_(i) . . . D_(i)D₀); a partial product calculator for converting each of the digits Di of the number Y converted by the data converter into a combination of the coefficients of a fundamental multiple, multiplying the combination by the number X, and outputting the product as a redundant binary partial product; a redundant binary adder for summing the partial products for all of the digits of the converted number Y; and a redundant binary (RB)-normal binary (NB) converter for converting the redundant binary sum into a normal binary number and outputting the converted normal binary sum as the product of the two numbers.

[0030] To achieve the second objective, the present invention provides a digital multiplication method adopting a redundant binary arithmetic for multiplying two numbers X and Y using a radix-2 k number system, the method including: (a) data-converting the m-bit number Y into m/k-digit data D(=D_(m/k−1)D_(m/k−2) . . . D_(i) . . . D₁D₀); (b) converting each of the digits Di of the number Y into a combination of the coefficients of a fundamental multiple, and multiplying the combination by the number X to obtain a redundant binary partial product; (c) summing the partial products for all of the digits of the number Y converted; and (d) converting the redundant binary sum into a normal binary number to obtain the product of the two numbers.

BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above objectives and advantage of the present invention will become more apparent by describing in detail a preferred embodiment thereof with reference to the attached drawings in which:

[0032]FIG. 1 is a schematic block diagram of a digital multiplication apparatus adopting a redundant binary arithmetic, according to the present invention;

[0033]FIG. 2 is a block diagram of a preferred embodiment of the partial product calculator shown in FIG. 1;

[0034]FIG. 3 is a circuit diagram of a preferred embodiment of the present invention including one of the multiplexers shown in FIG. 2 and a logic combination unit for the selected multiplexer;

[0035]FIG. 4 is a circuit diagram of a simplified adder according to a preferred embodiment of the present invention;

[0036]FIG. 5 is a circuit diagram of an adder according to another preferred embodiment of the present invention;

[0037]FIG. 6 is a flowchart illustrating a digital multiplication method according to the present invention;

[0038]FIG. 7 is a flowchart for explaining the step of determining the coefficients of the fundamental multiples shown in FIG. 6;

[0039]FIG. 8 is a flowchart for explaining a preferred embodiment of the step 152 shown in FIG. 6; and

[0040]FIG. 9 is a flowchart illustrating a preferred embodiment of the steps 152 through 156 shown in FIG. 6, in a digital multiplication method adopting a redundant binary arithmetic according to the present invention.

DESCRIPTION OF THE PREFERRED EMBODIMENT

[0041] Referring to FIG. 1, a digital multiplication apparatus adopting a redundant binary arithmetic, according to the present invention, includes a data converter 10, a partial product calculator 12, a redundant binary adder 14 and a redundant binary-normal binary (RB-NB) converter 16.

[0042] The digital multiplication apparatus shown in FIG. 1 multiplies two numbers X and Y using a radix-2^(k) number system. To achieve this, first, the data converter 10 data-converts the number Y composed of m bits, for example, into m/k-digit data D as shown in Equation 6, and outputs the m/k-digit data D to the partial product calculator 12.

[0043] The partial product calculator 12 converts each digit Di of the data D output from the data converter 10 into a combination of the coefficients of fundamental multiples, multiplies the combination by the number X having a predetermined number of bits, and outputs the multiplied result as a partial product of a redundant binary form mentioned in the description of Equations 3 and 4 to the redundant binary adder 14. In the end, $\left\lceil \frac{m}{k} \right\rceil + 1$

[0044] partial products from the partial product calculator 12 are output to the redundant binary adder 14.

[0045] The redundant binary adder 14 adds up $\left\lceil \frac{m}{k} \right\rceil + 1$

[0046] redundant binary partial products for all of the digits of the data D, which is the number Y data-converted by the data converter 10, and outputs the sum to the RB-NB converter 16. The RB-NB converter 16 converts the received RB sum into an NB sum, and outputs the NB sum as the result of a multiplication of the two numbers X and Y through an output terminal OUT.

[0047]FIG. 2 is a block diagram of a preferred embodiment 12A of the partial product calculator 12 shown in FIG. 1. This embodiment includes a fundamental multiple determination unit 20, first through m/k multiplexers 30, 32, . . . and 34, first through m/k logic combination units 40, 42, . . . and 44, and a controller 50.

[0048] The fundamental multiple determination unit 20 bit-divides the m-bit Y by re-encoding it, multiplies each divided bit group by a predetermined weighted value, determines the coefficients of fundamental multiples by summing the products, multiplies each of the determined coefficients of the fundamental multiples by X, and outputs the results to the first through m/k multiplexers 30, 32, . . . and 34. Each of the multiplexers 30, 32, . . . and 34 selects two among e fundamental multiples output from the fundamental multiple determination unit 20 in response to a corresponding selection signal S1, S2, . . . or Sm/k and outputs the two selected results to the corresponding logic combination units 40, 42, . . . or 44. Here, two selected results output from each of the multiplexers 30, 32, . . . and 34 are fundamental multiples. Each of the first through m/k logic combination units 40, 42, . . . and 44 performs a logic combination on the two selected fundamental multiples and output the results of the logic combination as redundant binary partial products to the redundant binary adder 14 through a corresponding output terminal OUT1, OUT2, . . . or OUTm/k. The controller 50 receives a total of m/k digits of the data D into which the data converter 10 converts the number Y, via an input port IN, produces combinations of the fundamental multiples for each digit of the data D, and generates the selection signals S1, S2, . . . and Sm/k for allowing the multiplexers to select corresponding fundamental multiples, according to the produced combinations.

[0049] In order to facilitate understanding of the present invention, the operations of the circuits shown in FIGS. 1 and 2 and preferred embodiments of the circuits will now be described on the assumption that k is 6.

[0050] When two numbers X and Y are multiplied in a radix-64 number system, a total of 65 X multiples, that is, −32X, −31X, . . . , 0, . . . , 31X and 32X, are required. Here, the 65 multiples can be expressed as combinations of 9 (e=9) fundamental multiples such as 0, X, 2X, 3X, 4X, 8X, 16X, 24X and 32X according to the rule shown in Table 2 according to the present invention. A method of producing fundamental multiples will be described in detail later. TABLE 2 n in n X (A,B) extra bit n in n X (A,B) extra bit n in n X (A,B) extra bit n in n X (A,B) extra bit 0 0's,1's 0,0  8 0's,8 0,1 16 0's,16 0,1 24 0's,24 0,1 1 1,1's 0,0  9 1,8 0,1 17 1,16 0,1 25 1,24 0,1 2 2,1's 0,0 10 2,8 0,1 18 2,16 0,1 26 2,24 0,1 3 3,1's 0,0 11 3,8 0,1 19 3,16 0,1 27 3,24 0,1 4 4,1's 0,0 12 4,8 0,1 20 4,16 0,1 28 4,24 0,1  4* 4,8 0,0  12* 4,16 0,0  20* 4,24 0,0  28* 4,32 0,0 5 3,8 0,0 13 3,16 0,0 21 3,24 0,0 29 3,32 0,0 6 2,8 0,0 14 2,16 0,0 22 2,24 0,0 30 2,32 0,0 7 1,8 0,0 15 1,16 0,0 23 1,24 0,0 31 1,32 0,0 8 0's,8 0,0 16 0's,16 0,0 24 0's,24 0,0 32 0's,32 0,0 0 1's,0's 0,0 −8 8,0's 1,0 −16   16,0's 1,0 −24   24,0's 1,0 −1   1's,1 0,0 −9 8,1 1,0 −17   16,1 1,0 −25   24,1 1,0 −2   1's,2 0,0 −10   8,2 1,0 −18   16,2 1,0 −26   24,2 1,0 −3   1's,3 0,0 −11   8,3 1,0 −19   16,3 1,0 −27   24,3 1,0 −4   1's,4 0,0 −12   8,4 1,0 −20   16,4 1,0 −28   24,4 1,0 −4* 8,4 0,0 −12* 16,4 0,0 −20* 24,4 0,0 −28* 32,4 0,0 −5   8,3 0,0 −13   16,3 0,0 −21   24,3 0,0 −29   32,3 0,0 −6   8,2 0,0 −14   16,2 0,0 −22   24,2 0,0 −30   32,2 0,0 −7   8,1 0,0 −15   16,1 0,0 −23   24,1 0,0 −31   32,1 0,0 −8* 8,0's 0,0 −16* 16,0's 0,0 −24* 24,0's 0,0 −32   32,0's 0,0

[0051] In Table 2, the coefficient (n) of a multiple denotes Di, X at A and B is omitted for convenience' sake, underlined multiples denote multiples, the bits of which are all inverted, and 0's or 1's denotes the case that all of the bits are 0 or 1. However, an extra bit, each number of which is one bit, means correction bits EX⁺ and EX⁻ generated due to the 2's complement arithmetic.

[0052] X multiples formed in normal binary numbers can be converted into redundant binary multiples formed of only combinations of some normal binary fundamental multiples by a rule as shown in Table 2. For example, a process for expressing −20X in a redundant binary number is shown in Equation 7:

−20X=−16X−4X=({overscore (16X)}+1)−4X

=({overscore (16X)}−4X)+1≡({overscore (16X)},4X)+(1,0)  (7)

[0053] For example, as can be seen from Equation 7, ({overscore (16X)},4X) is the redundant binary form in which −20X that is a normal binary partial product is expressed, and (1,0), which is an extra bit, is correction bits produced due to the 2's complement arithmetic. In an example of a radix-64, only 3X among 9 fundamental multiples requires a separate addition arithmetic. That is, 24X can be obtained by left-shifting 3X by 3 bits, and the remaining X fundamental multiples can be obtained by left-shifting X by an appropriate number of bits. However, 3X needs a separate addition arithmetic of adding X and 2X.

[0054] In Table 2, the digits A and B of the redundant binary form of nX, n of which is negative, can be obtained simply by transposing the two digits A and B of the redundant binary form of nX, n of which is positive. Also, it can be seen from the form (A,B) of nX, n of which is positive, that all of the bits of a multiple for B are inverted, bits of A in the preceding five rows are not inverted, and bits of A in the next five rows are all inverted. In the case of nX, n of which is negative, it can be seen that, if each digit A is transposed with each digit B, the same rule as described above is established. Also, it can be seen from Table 2 that, in the case of nX, n of which is positive, the same fundamental multiples are used for B in every five rows, and a pattern of fundamental multiples used for A is repeated in every ten rows. If using the facts that, in the case of nX, n of which is negative, the corresponding (A, B) is obtained by transposing the two digits A and B of nX, n of which is positive, and all of the bits of a multiple for B are inverted, the digits A and B can be summarized as in Table 3, which is a truth table for making a partial product expressed in a redundant binary form.

[0055] In Table 3, A_(Di), B_(Di), A_(i) and B_(i) denote the bits of A_(D), B_(D), A and B, respectively, N is a parameter representing whether a multiple of X is negative (1) or positive (0), I_(A) is a parameter representing whether a multiple to be allocated to A is to be inverted (1) or not (0), and A_(D) and B_(D) are intermediate parameters described later. For example, if n is 11 in Table 2, N is 0 because n is positive, and I_(A) is 0 because A is 3X. However, in the case of −22X, N is 1 because n is negative, and I_(A) is 1 because A is an inverted form of 24. A_(D) and B_(D) are fundamental multiples selected among 9 fundamental multiples to express a normal binary multiple in the form of a redundant binary multiple. These intermediate parameters A_(D) and B_(D) are processed, thereby obtaining the final values A and B. For example, in the case of 13X shown in Table 2, A_(D) and B_(D) are 3X and 16X, respectively, and N and I_(A) are 0 and 1, respectively, whereby A and B are finally {overscore (3X)} and {overscore (16X)}, respectively. Also, in the case of −10X shown in Table 2, A_(D) and B_(D) are 2X and 8X, respectively, and N and I_(A) are 1 and 0, respectively, whereby A and B are finally an inverted value of 8X, and 2X, respectively. TABLE 3 N I_(A) A_(Di) B_(Di) A_(i) B_(i) 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 1 0 1 1 0 0 1 1 0 0 1 0 1 1 1 0 0 1 0 0 0 1 0 1 0 0 1 1 1 1 0 1 0 0 0 1 0 1 1 0 1 1 1 0 0 0 0 1 1 0 1 0 1 1 1 1 0 1 0 1 1 1 1 1 1

[0056] In Table 2, in case of n being 4, 8, 12, 16, 20, 24, 28, −4, −8, −12, −16, −20, −24 and −28, even though they are the same normal binary multiples, they are expressed in different redundant binary numbers. Table 3 can be expressed in logical expression such as Equation 8:

A_(l)=(N⊕I_(A))⊕A_(Dl), B_(l)={overscore ((N⊕B_(Dl)))}  (8)

[0057] The structure and operation of a preferred embodiment of the present invention, which performs Equation 8, will now be described referring to FIG. 3. FIG. 3 is a circuit diagram of a preferred embodiment of the present invention including one among the multiplexers shown in FIG. 2 and a logic combination unit corresponding to the selected multiplexer. This embodiment includes a multiplexer 60 and a logic combination unit 70.

[0058] Referring to FIG. 3, the multiplexer 60 is made up of first through tenth NMOS transistors MN1 through MN10. Each of the transistors has a gate connected to a corresponding selection signal S1X, S2X, S3X, S4X, ZERO, S8X, S16X, S24X, S32X or ONE, and a source and a drain connected between a fundamental multiple X, 2X, 3X, 4X, VSS, VDD, 32X, 24X, 16X or 8X, which is a corresponding partial product among partial products obtained by multiplying the coefficients of fundamental multiples by X, and the logic combination unit 70. The logic combination unit 70 includes a first inserter 72 for inverting one of the partial products selected by the multiplexer 60, a second inverter 76 for inverting the other selected partial product, a first exclusive OR unit 74 for exclusively performing OR operation on the output {overscore (A_(Dl))} of the first inverter 72 and the third bit y_(6j+2) from the least significant bit y_(6j−1) of Y (···y_(6j+5) y_(6j+4) y_(6j+3) y_(6j+2) y_(6j+1) y_(6j) y_(6j−1) ···), and a second exclusive OR unit 78 for exclusively performing OR operation on the output {overscore (B_(Dl))} of the second inverter 76 and the most significant bit y_(6j+5). In FIG. 3, d_(l) ⁺ and d_(l) ⁻ are the bit A_(i) of A and the bit B_(i) of B in Table 2, respectively, y_(6j+2) is N⊕I_(A) in Equation 8, and y_(6j+5) is N in Equation 8.

[0059] To be more specific, the multiplexer 60 of FIG. 3 includes two 5-to-1 multiplexers (MUXes) each made up of 5 n-type MOS transistors at the right or left side. The multiplexer 60 receives SnX as a selection signal and selects an input nX. The coefficients (n) of fundamental multiples are 1, 2, 3, 4, 8, 16, 24 and 32, the left MUX receives the bits of X, 2X, 3X, 4X and VSS, and the right MUX receives the bits of 8X, 1 6X, 24X, 32X and VDD. VSS and VDD are logic values 0 and 1, respectively, and the selection signals of MUXes which select these input values VSS and VDD are ZERO and ONE, respectively. A_(Di) and B_(Di) are the outputs of the 5-to-1 MUXes, and d_(l) ⁺ and d_(l) ⁻, which are an i-th pair of a normal binary multiple expressed in a redundant binary multiple form (A, B), are A_(i) and B_(i) in Equation 8, respectively.

[0060] In FIG. 3, as well as being output to the redundant binary adder 14 without change, d_(l) ⁺ and d_(l) ⁻ can be output to the redundant binary adder 14 after being transformed, respectively, as shown in Equation 9:

d_(l) ⁺{overscore (d_(l) ⁻)}, {overscore ((d_(l) ³⁰ ⊕d_(l) ⁻))}  (9)

[0061] If a redundant binary multiple is output after being transformed as shown in Equation 9, hardware for summing up redundant binary partial products to be described later can be simplified. In order to achieve this, as shown in FIG. 3, the logic combination unit 70 can further include a first inversion OR unit 80 for performing inversion OR on the outputs of the first and second exclusive OR units 74 and 78, a first AND unit 82 for performing AND operation on the outputs of the first and second exclusive OR units 74 and 78, and a second inversion OR unit 84 for performing inversion OR on the output of the first AND 82 and the output of the first inversion OR unit 80.

[0062] The addition of two redundant binary partial products by the redundant binary adder 14 will now be described. Redundant binary partial products (a_(l) ⁺,a_(l) ⁻) and (b_(i) ⁺,b_(l) ⁻) obtained by the circuit shown in FIG. 3 are summed according to the rule of Table 4 according to the present invention.

[0063] [Table 4] (a_(l) ⁺,a_(l) ⁻) case (b_(l) ⁺,b_(l) ⁻) h_(i-1) (c_(l) ⁺,c_(l) ⁻) (s_(l) ⁺,s_(l) ⁻) 1 (0,0) (1,1) (0,1) (1,1) (0,0) (1,0) any (0,0) (0,0) (0,0) (0,0) (1,0) (1,1) (1,1) (0,1) 2 (0,1) (0,0) (0,1) (1,1) 1 (0,0) (0,1) (0,0) (0,1) (1,1) (0,1) 0 (0,1) (1,0) 3 (1,0) (1,0) (0,0) (1,1) 1 (1,0) (0,1) (0,0) (1,1) (1,0) (1,0) 0 (0,0) (1,0) 4 (0,1) any (0,1) (0,0) (0,1) 5 (1,0) any (1,0) (0,0) (1,0)

[0064] The addition method according to the present invention shown in Table 4 is different from the conventional addition method shown in Table 1 in that a redundant binary input (1,1) is also considered, and the values of partial products (a_(l) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) received when h_(i) is 1 are defined differently. That is, in Table 1 according to the prior art, h_(i) becomes 1 at an input value having a possibility that −1 is propagated as carry. However, in Table 4 according to the present invention, h_(i) becomes 1 at an input value having a possibility that 1 is propagated as carry. The role of h_(i) and a method of obtaining an intermediate sum (s_(l) ⁺,s_(l) ⁻) and an intermediate carry (c_(l) ⁺,c_(l) ⁻) are the same as those of Table 1 according to the prior art, so they will not be described. The sum (d_(l) ⁺,d_(l) ⁻) of two redundant binary partial products (a_(l) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) according to Table 4 can be obtained in Equation 10: $\begin{matrix} {{{d_{i}^{+} = {{s_{i}^{+} \cdot \overset{\_}{s_{i}^{-}} \cdot \overset{\_}{c_{i - 1}^{+}} \cdot \overset{\_}{c_{i - 1}^{-}}} + {\overset{\_}{s_{i}^{+}} \cdot \overset{\_}{s_{i}^{-}} \cdot c_{i - 1}^{+} \cdot \overset{\_}{c_{i - 1}^{-}}}}},{d_{i}^{-} = {{\overset{\_}{s_{i}^{+}} \cdot s_{i}^{-} \cdot \overset{\_}{c_{i - 1}^{+}} \cdot \overset{\_}{c_{i - 1}^{-}}} + {\overset{\_}{s_{i}^{+}} \cdot \overset{\_}{s_{i}^{-}} \cdot \overset{\_}{c_{i - 1}^{+}} \cdot c_{i - 1}^{-}}}}}{d_{i}^{+} = {{\left( {l_{i} \oplus h_{i - 1}} \right) \cdot \left( {{\overset{\_}{l_{i - 1}} \cdot k_{i - 1}} + {l_{i - 1} \cdot h_{i - 2}}} \right)} \equiv {\alpha_{i} \cdot \overset{\_}{\beta_{i - 1}}}}}{d_{i}^{-} = {{\overset{\_}{\left( {l_{i} \oplus h_{i - 1}} \right)} \cdot \left( {{\overset{\_}{l_{i - 1}} \cdot \overset{\_}{k_{i - 1}}} + {l_{i - 1} \cdot \overset{\_}{h_{i - 2}}}} \right)} \equiv {\overset{\_}{\alpha_{i}} \cdot \beta_{i - 1}}}}{l_{i} = {\left( {a_{i}^{+} \oplus a_{i}^{-}} \right) \oplus \left( {b_{i}^{+} \oplus b_{i}^{-}} \right)}}{h_{i} = {{a_{i}^{+} \cdot \overset{\_}{a_{i}^{-}}} + {b_{i}^{+} \cdot \overset{\_}{b_{i}^{-}}}}}{k_{i} = {\overset{\_}{\left( {a_{i}^{+} \oplus a_{i}^{-}} \right)} + \left( {a_{i}^{+} \cdot \overset{\_}{a_{i}^{-}}} \right) + \left( {b_{i}^{+} \cdot \overset{\_}{b_{i}^{-}}} \right)}}} & (10) \end{matrix}$

[0065] Equation 10 is embodied in a circuit using the following rule. First, an expression for obtaining intermediate parameters l_(i), h_(i) and k_(i) using input values (a_(i) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) is formed of a combination of x_(l) ⁺⊕x_(l) ⁻ and x_(l) ⁺·x_(l) ⁻ (where x is a or b). Accordingly, as described above, when redundant binary partial products are made in FIG. 3, values of Equation 9 obtained by further installation of the logic gates 80, 82 and 84 are output to the redundant binary adder 14, instead of d_(l) ⁺ and d_(l) ⁻ being output to the redundant binary adder 14 without change. The redundant binary adder 14 using this rule is made up of first through $\left\lceil {\log_{2}\left( {\left\lceil \frac{m}{k} \right\rceil + 1} \right)} \right\rceil$

[0066] th redundant binary addition ports (not shown), each of which is made up of a predetermined number of redundant binary adders (not shown), each of which is embodied with complementary MOS transistors. As described above, Table 4 according to the present invention also considers a redundant binary input value (1,1), thereby reducing the burden on hardware to transform (1,1) into (0,0) as in Table 1.

[0067] The structure and operation of a preferred embodiment of each of the redundant binary adders (not shown) according to the present invention will now be described referring to FIG. 4. FIG. 4 is a circuit diagram of a simplified adder according to a preferred embodiment of the present invention when one among partial products to be added is (0,0). This adder includes second and third AND units 90 and 96 and third, fourth, fifth and sixth inversion OR units 92, 94, 98 and 100.

[0068] In FIG. 4, the third inversion OR unit 92 performs an inversion OR operation on the output {overscore (l_(l))} of the second inversion OR unit in the corresponding logic combination unit and the previous carry parameter h_(i−1) and outputs the operation result as β_(i) presented in Equation 10. The second AND unit 90 performs AND operation on the inputs of the third inversion OR unit 92, and the fourth inversion OR unit 94 performs an inversion OR operation on the output of the third inversion OR unit 92 and the output of the second AND unit 90 and outputs the operation result as {overscore (α_(l))} presented in Equation 10. Here, the fifth inversion OR unit 98 performs inversion OR operation on the output of the fourth inversion OR unit 94 and the result β_(i−1) of previous inversion-OR operation performed by the third inversion OR unit 92 to obtain d_(l) ⁺·{overscore (d_(l) ⁻)}. The third AND unit 96 performs an AND operation on the output of the fourth inversion OR unit 94 and the result β_(i−1) of previous inversion-OR operation performed by the third inversion OR unit 92, and the sixth inversion OR unit 100 performs an inversion OR operation on the outputs of the fifth inversion OR unit 98 and third AND unit 96 to obtain {overscore (d_(l) ⁺⊕d_(l) ⁻)}. As described above, in the case that a redundant binary input (a_(l) ⁺,a_(l) ⁻) among redundant binary partial products is (0,0), the adder can be simply formed as shown in FIG. 4.

[0069] The structure and operation of an adder according to another preferred embodiment of the present invention capable of summing up any types of redundant binary numbers will now be described. FIG. 5 is a circuit diagram of an adder according to another preferred embodiment of the present invention, which includes fourth, fifth and sixth inverters 116, 120 and 122, p-type and n-type MOS transistors that constitute a complementary MOS inverter 118, first, second, third, fourth and fifth transmission gates 108, 124, 126, 128 and 130, fourth and fifth AND units 110 and 134, and seventh, eighth, ninth and tenth inversion OR units 112, 114, 132 and 136.

[0070] Referring to FIG. 5, the fourth AND unit 110 performs an AND operation on the output a_(l) ⁺{overscore (a_(l) ⁻)} of the first inversion OR unit in one logic combination unit and the output b_(l) ⁺{overscore (b_(l) ⁺)} of the first inversion OR unit in another logic combination unit. The seventh inversion OR unit 112 performs an inversion OR operation on the inputs of the fourth AND unit 110 to obtain {overscore (h_(l))}. The eighth inversion OR unit 114 performs an inversion OR operation on the output of the fourth AND unit 110 and the output {overscore ((a_(i) ⁺⊕a_(l) ⁻))} of the second inversion OR unit in one logic combination unit to obtain {overscore (k_(l))}. Here, the third inverter 116 inverts the output {overscore ((a_(l) ⁺⊕a_(l) ⁻))} of the second inversion OR unit in one logic combination unit. The complementary MOS inverter 118 is provided between the output {overscore ((a_(l) ⁺⊕a_(l) ⁻))} of the second inversion OR unit in one logic combination unit and the output of the third inverter 116, and receives and inverts the output {overscore ((b_(l) ⁺⊕b_(l) ⁻))} of the second inversion OR unit in another logic combination unit to obtain I_(i). In response to the output {overscore ((a_(l) ⁺⊕a_(l) ⁻))} of the second inversion OR unit in one logic combination unit and the output of the third inverter 116, the first transmission gate 108 outputs the input {overscore ((b_(l) ⁺⊕b_(l) ⁻))} of the complementary MOS inverter 118 as the input I_(i) of the inverter 120. The fourth inverter 120 inverts and output the output of the complementary MOS inverter 118, and the fifth inverter 122 inverts and outputs the previous output {overscore (h_(l−1))} of the seventh inversion OR unit 112. The second transmission gate 124 transmits the output of the fifth inverter 122 in response to the output of the fourth inverter 120 and the output I_(i) of the complementary MOS inverter 118. The third transmission gate 126 transmits the previous output {overscore (h_(l−1))} of the seventh inversion OR unit 112 in response to the output I_(i) of the complementary MOS inverter 118 and the output of the fourth inverter 120. The fourth transmission gate 128 transmits the previous output {overscore (h_(l−1))} of the seventh inversion OR unit 112 in response to the output of the fourth inverter 120 and the output I_(i) of the complementary MOS inverter 118. The fifth transmission gate 130 transmits the output of the eighth inversion OR unit 114 in response to the output I_(i) of the complementary MOS inverter 118 and the output of the fourth inverter 120. The ninth inversion OR unit 132 performs an inversion OR operation on the outputs {overscore (α_(i))} of the second and third transmission gates 124 and 126 and the previous outputs β_(i−1) of the fourth and fifth transmission gates 128 and 130 to obtain d_(l) ⁺·{overscore (d_(l) ⁻)}. Here, the fifth AND unit 134 performs an AND operation on the inputs of the ninth inversion AND unit 132, and the tenth inversion OR unit 136 performs an inversion OR operation on the output of the fifth AND unit 134 and the output of the ninth inversion OR unit 132 to obtain {overscore ((d_(i) ⁺⊕d_(i) ⁻))}.

[0071] A digital multiplication method according to the present invention performed in the digital multiplication apparatus adopting a redundant binary arithmetic method shown in FIG. 1 will now be described with reference to the attached drawings.

[0072]FIG. 6 is a flowchart illustrating a digital multiplication method according to the present invention including the step 150 of bit-converting one of two numbers to be multiplied, the steps 152 through 156 of obtaining redundant binary partial products, and the steps 158 and 160 of obtaining the product of two numbers X and Y by summing the redundant binary partial products.

[0073] In this digital multiplication method, first, an m-bit number Y is data-converted into data D composed of m/k digits as shown in Equation 6, in step 150. The step 150 is performed in the data converter 10 shown in FIG. 1. Next, the fundamental multiple determination unit 20 of FIG. 2 determines the coefficients of fundamental multiples, in step 152. The step 152 will now be more specified below.

[0074]FIG. 7 is a flowchart for explaining the step 152 of determining the coefficients of fundamental multiples shown in FIG. 6. The step 152 includes the steps 180 and 182 of dividing the bits of one of two numbers to be multiplied and the steps 184 and 186 of obtaining the coefficients of a fundamental multiple by multiplying divided bits by weighted values.

[0075] After the step 150, the m bits of the number Y are grouped by (k+1) bits while consecutive groups overlap by one bit, in step 180. Next, the k bits excluding the most significant bit are divided into t upper bits and s (≧t) lower bits, that is, into (t,s), in step 182. Here, k is equal to s+t. After the step 182, an s-bit group value is obtained by multiplying each of the s lower bits by a corresponding weighted value among weighted values and summing the products, in step 184. Then, a t-bit group value is obtained by multiplying each of the t upper bits by a corresponding weighted value among weighted values, summing the products, and multiplying the sum by 2^(s), in step 186. Here, the coefficients of a fundamental multiple are determined from the s-bit group value and the t-bit group value. The step 186 can be performed prior to the step 184.

[0076] A method of determining the coefficients of a fundamental multiple in the case of a radix-2^(k), according to a preferred embodiment of the present invention, will now be described with reference to the attached drawings.

[0077]FIG. 8 is a flowchart for explaining a preferred embodiment of the step 152 shown in FIG. 6. This embodiment includes the steps 200 through 206 of obtaining the coefficients of a fundamental multiple using the lower bits of Y_(j) (which denotes a j-th group of (k+1) bits of a multiplier Y) and the steps 208 through 214 of obtaining the coefficients of a fundamental multiple using the upper bits of Y_(j).

[0078] First, it is assumed that the number of lower bits of Y_(j) is s, the number of upper bits of Y_(j) is t, k is t+s, and t is $\left\lfloor \frac{k}{2} \right\rfloor$

[0079] (where └x┘ denotes an integer that is x or the largest one among integers that are smaller than x). That is, t is equal to or smaller than s.

[0080] A decimal value s_grp₁₀ of an s-bit binary number s_grp₂ is initialized, in step 200. Next, the coefficient value of a fundamental multiple of the decimal value s_grp₁₀ is obtained as shown in Equation 11, in step 202: $\begin{matrix} {{{FMC}\left\lbrack {s\_ grp}_{10} \right\rbrack} = {{{s\_ grp}_{2}\lbrack 0\rbrack} + {\sum\limits_{j = 1}^{t - 1}{{{s\_ grp}_{2}\lbrack j\rbrack}*2^{j - 1}}}}} & (11) \end{matrix}$

[0081] wherein s_grp₂[i] denotes the i-th bit of s_grp₂, and FMC denotes an arrangement of the coefficients of a fundamental multiple.

[0082] After the step 202, it is determined whether s_grp₁₀ is smaller than 2^(s), in step 204. If s_grp₁₀ is not smaller than 2^(s), it increases by 1, in step 206, and the step 202 is again performed.

[0083] On the other hand, if s_grp₁₀ is smaller than 2^(s), a decimal value t_grp₁₀ of a t-bit binary number t_grp₂ is initialized, in step 208. Then, the coefficient of a fundamental multiple for the decimal value t_grp₁₀ is obtained as shown in Equation 12, in step 210: $\begin{matrix} {{{FMC}\left\lbrack {{s\_ grp}_{10} + {t\_ grp}_{10}} \right\rbrack} = {2^{s}*\left( {{{t\_ grp}_{2}\lbrack 0\rbrack} + {\sum\limits_{j = 1}^{t - 1}{{{t\_ grp}_{2}\lbrack j\rbrack}*2^{j - 1}}}} \right)}} & (12) \end{matrix}$

[0084] wherein t_grp₂[i] denotes the i-th bit of t_grp₂.

[0085] Thereafter, it is determined whether t_grp₁₀ is smaller than 2^(t), in step 212. If t_grp₁₀ is not smaller than 2^(t), it increases by 1, in step 214, and the step 210 is performed again. On the other hand, if t_grp₁₀ is smaller than 2^(t), the step 152 is concluded.

[0086] The contents of the FMCs obtained by Equations 11 and 12 are the coefficients of a fundamental multiple required by 2^(k), but the coefficient of the same fundamental multiple can be obtained repeatedly several times.

[0087] In order to facilitate understanding of the step 152 of FIG. 6 and the methods shown in FIGS. 7 and 8, a method of determining the coefficient of a fundamental multiple, according to the present invention, will now be described on the assumption that k is 6.

[0088] First, every consecutive 7 bit of the bits of Y are grouped, and consecutive groups overlap by one bit such that the last bit of each group is the first bit of the following group. The 7-bit groups are re-coded in a radix-64 numeration system, thereby resulting in Table 5. That is, Table 5 refers to the case that one of two binary input values to be multiplied is re-coded in a radix-64 numeration system, and shows conversion of a binary bit group into a radix-64 number.

[0089] In Table 5, a bit y6 determines the sign of n. As can be seen from Equation 6, two types of Y groups can be obtained for a single n, and some of them must be treated differently in order to simplify the construction of a circuit. Thus, the differently-treated groups are distinguished from the other groups by box wrapping in Table 5. TABLE 5 y6y5y4y3y2y1y0 n in n X 0000000 0 0000001 1 0000010 0000011 2 0000100 0000101 3 0000110 0000111 4 0001000 0001001 5 0001010 0001011 6 0001100 0001101 7 0001110 0001111 8 0010000 0010001 9 0010010 0010011 10 0010100 0010101 11 0010110 0010111 12 0011000 0011001 13 0011010 0011011 14 0011100 0011101 15 0011110 0011111 16 0100000 0100001 17 0100010 0100011 18 0100100 0100101 19 0100110 0100111 20 0101000 0101001 21 0101010 0101011 22 0101100 0101101 23 0101110 0101111 24 0110000 0110001 25 0110010 0110011 26 0110100 0110101 27 0110110 0110111 28 0111000 0111001 20 0111010 0111011 30 0111100 0111101 31 0111110 0111111 32 1111111 0 1111110 −1 1111101 1111100 −2 1111011 1111010 −3 1111001 1111000 −4 1110111 1110110 −5 1110101 1110100 −6 1110011 1110010 −7 1110001 1110000 −8 1101111 1101110 −9 1101101 1101100 −10 1101011 1101010 −11 1101001 1101000 −12 1100111 1100110 −13 1100101 1100100 −14 1100011 1100010 −15 1100001 1100000 −16 1011111 1011110 −17 1011101 1011100 −18 1011011 1011010 −19 1011001 1011000 −20 1010111 1010110 −21 1010101 1010100 −22 1010011 1010010 −23 1010001 1010000 −24 1001111 1001110 −25 1001101 1001100 −26 1001011 1001010 −27 1001001 1001000 −28 1000111 1000110 −29 1000101 1000100 −30 1000011 1000010 −31 1000001 1000000 −32

[0090] The bits of Y_(j) excluding the most significant bit y6 are divided into (t,s), which is (3 bits, 3 bits). Here, in order to obtain each group value, a weighted value for each bit is set to be, for example, 1, 1, 2, 4, 8, . . . , 2^(i), starting from the least significant digit. If k is 6, there are weighted values of 1, 1 and 2. If the bits of an s-bit group is '101, an S-bit group value is 3 by the calculation of 2·1+1·0+1·1. Since the digits of a t-bit group are higher than those of an s-bit group, an appropriate weighted value must be multiplied. Thus, the number obtained from the t-bit group is multiplied by 2^(s). That is, if the t-bit group is ‘101’, a t-bit group value is 24 by the calculation of (2·1+1·0+1·1)×2³. Bit group values obtained by the above-described method are shown in Table 6, and they correspond to n in a fundamental multiple nX.

[0091] Table 6 shows bit group values which are required to express many normal binary multiples with only several combinations of fundamental multiples. TABLE s-bit group t-bit group (s = 3) s-bit group (t = 3) t-bit group y6 y5 y4 y3 value y2 y1 y0 value Don't 0 0 0 0 0 0 0 0 care 0 0 1 8 0 0 1 1 0 1 0 8 0 1 0 1 0 1 1 16 0 1 1 2 1 0 0 16 1 0 0 2 1 0 1 24 1 0 1 3 1 1 0 24 1 1 0 3 1 1 1 32 1 1 1 4

[0092] As can be seen from Table 6, there are 9 fundamental multiples of 0X, 1X, 2X, 3X, 4X, 8X, 16X, 24X and 32X.

[0093] Referring back to FIG. 6, after the step 152, the controller 50 receives data D from the data converter 10 via an input port IN and converts each of the digits Di of the data D into a combination of the coefficients of a fundamental multiple, in step 154. Next, redundant binary partial products are obtained by multiplying each of the converted results by X, in step 156. In order to achieve this, the controller 50 generates selection signals S1, S2, . . . and Sm/k in accordance with the combination of coefficients of a fundamental multiple to allow multiplexers to select the products of combinations of the coefficients of a fundamental multiple by X. After the step 156, the redundant binary adder 14 sums redundant binary partial products, in step 158. Then, a final result of multiplication of two numbers X and Y is obtained by converting the sum having a redundant binary form into a normal binary number, in step 160.

[0094] Assuming that k is 6, the step of converting a normal binary partial product of a multiplicand X by a coded multiplier Y into a redundant binary partial product of the combination of fundamental multiples, in a digital multiplication method adopting a redundant binary arithmetic, according to a preferred embodiment of the present invention, will now be described with reference to the attached drawings.

[0095]FIG. 9 is a flowchart illustrating a preferred embodiment of the steps 152 through 156 shown in FIG. 6 in a digital multiplication method adopting a redundant binary arithmetic, according to the present invention. This embodiment is made up of the steps 240 through 250 of determining the coefficients of a fundamental multiple and the step of 252 through 268 of obtaining a redundant binary partial product (A,B) and correction bits (EX⁺,EX⁻). Here, (A,B) is an expression of the normal binary partial product of a coded Y_(j) by X in a redundant binary number.

[0096] Referring to FIG. 9, the coefficients of a fundamental multiple are determined through the steps 240 through 250 described below. First, it is determined whether the most significant bit (MSB), which is the sign bit, of Y_(j) is 1, in step 240. If the most significant bit (MSB) of Y_(j) is 1, each of the bits of Y_(j) is inverted, in step 242. On the other hand, if the most significant bit (MSB) of Y_(j) is not 1, it is also determined whether the fourth bit I_(A) from the least significant bit of Y_(j) is 1, in the step 244. The step 244 is also performed after the step 242. If the fourth bit I_(A) from the least significant bit of Y_(j) is 1, each of the s lower bits of Y_(j) is inverted, in step 246. Thereafter, an s-bit group value is obtained by multiplying each of the s lower bits of Y_(j) by a corresponding weighted value and summing the products, and a t-bit group value is obtained by multiplying each of the t upper bits of Y_(j) by a corresponding weighted value and multiplying the products by 2³ (=8), in step 250.

[0097] Next, a redundant binary partial product (A,B) and correction bits (EX⁺,EX⁻) are obtained in the steps 252 through 268. To be more specific, after the step 250, it is determined whether I_(A) is “1”, in step 252. If I_(A) is “1”, value A is obtained by multiplying the s-bit group value by X and inverting the product, in step 254. On the other hand, if I_(A) is not “1”, value A is obtained by multiplying the s-bit group value by X, in step 256. After the step 254 or 256, value B is obtained by multiplying the t-bit group value by X and inverting the product, in step 258. Then, it is determined whether I_(A) is “1”, in step 260. If I_(A) is “1”, the correction bits (EX⁺,EX⁻) are set to be (0, 0), in step 262. On the other hand, if I_(A) is not “1”, the correction bits (EX⁺,EX⁻) are set to be (0,1), in step 264. After the step 262 or 264, it is determined whether the most significant bit of Y_(j), which is the sign bit, is “1”, in step 266. If the most significant bit of Y_(j) is “1”, the positions of A and B in (A,B) are transposed, and the positions of EX⁺ and EX⁻ in (EX⁺,EX⁻) are transposed, in step 268. On the other hand, if the most significant bit of Y_(j) is not “1 ”, or after the step 268, the step 158 of FIG. 6 is performed.

[0098] Consequently, in the present invention, in case that a partial product is one of odd multiples of X, for example, 27X, 27X is obtained from a combination of fundamental multiples 3Y and 24Y, such as 3X+24X. Thus, the addition of two normal binary numbers can be easily achieved by a conversion into a redundant binary number, and this conversion puts little burden on hardware. That is, several odd multiples required for multiplication can be expressed in combinations of fundamental multiples, the number of which is smaller than the number of odd multiples.

[0099] As described above, a digital multiplication apparatus and method adopting a redundant binary arithmetic, according to the present invention, can greatly reduce the burden on hardware by expressing the multiples of X in a redundant binary number rather than a normal binary number by applying the redundant binary number concept to produce a partial product. Even when the radix which is used to make a partial product extends to 4 of the widely-used MBA or greater, the burden upon hardware can be minimized. Since the radix increases and thus the number of partial products is reduced, the volume of hardware for summing partial products can also be reduced. Furthermore, the structure of a redundant binary adder for summing partial products is improved as shown in FIGS. 4 and 5, thereby optimizing a multiplication method. Therefore, many systems having multipliers serving as an important component can be more simply constructed. 

What is claimed is:
 1. A digital multiplication apparatus adopting a redundant binary arithmetic for multiplying two numbers X and Y using a radix-2 k number system, the apparatus comprising: a data converter for data-converting the m-bit number Y into m/k-digit data D (=D_(m/k−1)D_(m/k−2) . . . D_(i) . . . D_(i)D₀); a partial product calculator for converting each of the digits Di of the number Y converted by the data converter into a combination of the coefficients of a fundamental multiple, multiplying the combination by the number X, and outputting the product as a redundant binary partial product; a redundant binary adder for summing the partial products for all of the digits of the converted number Y; and a redundant binary (RB)-normal binary (NB) converter for converting the redundant binary sum into a normal binary number and outputting the converted normal binary sum as the product of the two numbers.
 2. The digital multiplication apparatus adopting a redundant binary arithmetic of claim 1, wherein the partial product calculator comprises: a fundamental multiple determiner for dividing the number Y into upper bits and lower bits by recoding the number Y, determining the sum of the products of the divided lower bits by corresponding weighted values to be the coefficient of the fundamental multiple, determining the product of the sum of the products of the divided upper bits by corresponding weighted values by 2^(k) to be the coefficient of the fundamental multiple, and multiplying the determined coefficients of the fundamental multiple by the number X and outputting the product as the fundamental multiple; first through m/k-th multiplexers; first through m/k-th logic combination units; and a controller for receiving all of the digits of the number Y converted by the data converter, producing the combination of the coefficients of the fundamental multiple with respect to each digit D_(i), and generating selection signals according to the produced combination, wherein each of the multiplexers selects two among the fundamental multiples in response to the selection signals, and the logic combination units perform logic combinations on the fundamental multiples selected by the multiplexers and output the results of the logic combinations as the redundant binary partial products to the RB-NB converter.
 3. The digital multiplication apparatus adopting a redundant binary arithmetic of claim 2, wherein each of the logic combination units comprises: a first inverter for inverting one of the two selected fundamental multiples; a second inverter for inverting the other fundamental multiple; a first exclusive OR unit for performing an exclusive OR operation on the output of the first inverter and an n-th bit from the least significant bit of the number Y; and a second exclusive OR unit for performing an exclusive OR operation on the output of the second inverter and the most significant bit of the number Y, wherein the results of the exclusive OR operations by the first and second exclusive OR units are the redundant binary partial products.
 4. The digital multiplication apparatus adopting a redundant binary arithmetic of claim 3, wherein each of the logic combination units further comprises: a first inversion OR unit for performing an inversion OR operation on the outputs of the first and second exclusive OR units; a first AND unit for performing an AND operation on the outputs of the first and second exclusive OR units; and a second inversion OR unit for performing an inversion OR operation on the output of the first AND unit and the output of the first inversion OR unit.
 5. The digital multiplication apparatus adopting a redundant binary arithmetic of claim 3, wherein the redundant binary adder comprises first through log₂ $\log_{2}\left( \left\lceil {\frac{m}{k} + 1} \right\rceil \right)$

redundant binary adding ports, each of the redundant binary adding ports has a predetermined number of adders, each of the adders adds two redundant binary partial products (a_(l) ⁺,a_(l) ⁻) and (b_(l) ⁺,b_(l) ⁻) using the following logic combination formula to obtain (d_(l) ⁺,d_(l) ⁻): $\begin{matrix} {d_{i}^{+} = {{\left( {l_{i} \oplus h_{i - 1}} \right) \cdot \left( {{\overset{\_}{l_{i - 1}} \cdot k_{i - 1}} + {l_{i - 1} \cdot h_{i - 2}}} \right)} \equiv {\alpha_{i} \cdot \overset{\_}{\beta_{i - 1}}}}} \\ {d_{i}^{-} = {{\overset{\_}{\left( {l_{i} \oplus h_{i - 1}} \right)} \cdot \left( {{\overset{\_}{l_{i - 1}} \cdot \overset{\_}{k_{i - 1}}} + {l_{i - 1} \cdot \overset{\_}{h_{i - 2}}}} \right)} \equiv {\overset{\_}{\alpha_{i}} \cdot \beta_{i - 1}}}} \end{matrix}$ $\begin{pmatrix} {{here},{l_{i} = {\left( {a_{i}^{+} \oplus a_{i}^{-}} \right) \oplus \left( {b_{i}^{+} \oplus b_{i}^{-}} \right)}}} \\ {h_{i} = {{a_{i}^{+} \cdot \overset{\_}{a_{i}^{-}}} + {b_{i}^{+} \cdot \overset{\_}{b_{i}^{-}}}}} \\ {k_{i} = {\overset{\_}{\left( {a_{i}^{+} \oplus a_{i}^{-}} \right)} + \left( {a_{i}^{+} \cdot \overset{\_}{a_{i}^{-}}} \right) + \left( {b_{i}^{+} \cdot \overset{\_}{b_{i}^{-}}} \right)}} \end{pmatrix}$


6. The digital multiplication apparatus adopting a redundant binary arithmetic of claim 5, wherein each of the adders comprises: a third inversion OR unit for performing an inversion OR operation on the output of the second inversion OR unit of the corresponding logic combination unit and a previous carry parameter h_(i−1); a second AND unit for performing an AND operation on the output of the second inversion OR unit of the corresponding logic combination unit and the previous carry parameter h_(i−1); a fourth inversion OR unit for performing an inversion OR operation on the output of the third inversion OR unit and the output of the second AND unit; a fifth inversion OR unit for performing an inversion OR operation on the result of the previous inversion OR operation by the third inversion OR unit and the output of the fourth inversion OR unit; a third AND unit for performing an AND operation on the result of the previous inversion OR operation by the third inversion OR unit and the output of the fourth inversion OR unit; and a sixth inversion OR unit for performing an inversion OR operation on the output of the fifth inversion OR unit and the output of the third AND unit, wherein the output of the fifth inversion OR unit is d_(l) ⁺·{overscore (d_(l) ⁻)}, and the output of the sixth inversion OR unit is {overscore (d_(l) ⁺⊕d_(l) ⁻)}.
 7. The digital multiplication apparatus adopting a redundant binary arithmetic of claim 5, wherein each of the adders comprises: a fourth AND unit for performing an AND operation on the output of the first inversion OR unit of a logic combination unit and the output of the first inversion OR unit of another logic combination unit; a seventh inversion OR unit for performing an inversion OR operation on the inputs of the fourth AND unit; an eighth inversion OR unit for performing an inversion OR operation on the output of the fourth AND unit and the output of the second inversion OR unit of the former logic combination unit; a third inverter for inverting the output of the second inversion OR unit of the former logic combination unit; a complementary MOS inverter installed between the output of the second inversion OR unit of the former logic combination unit and the output of the third inverter, for receiving and inverting the output of the second inversion OR unit of the latter logic combination unit; a fourth inverter for inverting the output of the complementary MOS inverter; a first transmission gate for transmitting the input of the complementary MOS inverter to the fourth inverter in response to the output of the second inversion OR unit of the former logic combination unit and the output of the third inverter; a fifth inverter for inverting the previous output of the seventh inversion OR unit; a second transmission gate for transmitting the output of the fifth inverter in response to the output of the fourth inverter and the output of the complementary MOS inverter; a third transmission gate for transmitting the previous output of the seventh inversion OR unit in response to the output of the complementary MOS inverter and the output of the fourth inverter; a fourth transmission gate for transmitting the previous output of the seventh inversion OR unit in response to the output of the fourth inverter and the output of the complementary MOS inverter; a fifth transmission gate for transmitting the output of the eighth inversion OR unit in response to the output of the complementary MOS inverter and the output of the fourth inverter; a ninth inversion OR unit for performing an inversion OR operation on the outputs of the second and third transmission gates and the previous outputs of the fourth and fifth transmission gates; a fifth AND unit for performing an AND operation on the inputs of the ninth inversion OR unit; and a tenth inversion OR unit for performing an inversion OR operation on the output of the fifth AND unit and the output of the ninth inversion OR unit, wherein the output of the ninth inversion OR unit is d_(l) ⁺·{overscore (d_(l) ⁻)}, and the output of the tenth inversion OR unit is {overscore (d_(l) ⁺⊕d_(l) ⁻)}.
 8. A digital multiplication method adopting a redundant binary arithmetic for multiplying two numbers X and Y using a radix-2 k number system, the method comprising: (a) data-converting the m-bit number Y into m/k-digit data D(=D_(m/k−1)D_(m/k−2) . . . D_(i) . . . D₁D₀); (b) converting each of the digits Di of the number Y into a combination of the coefficients of a fundamental multiple, and multiplying the combination by the number X to obtain a redundant binary partial product; (c) summing the partial products for all of the digits of the number Y converted; and (d) converting the redundant binary sum into a normal binary number to obtain the product of the two numbers.
 9. The digital multiplication method adopting a redundant binary arithmetic of claim 8, wherein the step (b) comprises: (b1) determining the coefficients of the fundamental multiple; (b2) converting the data Di into a combination of the coefficients of the fundamental multiple; and (b3) obtaining the redundant binary partial products by multiplying each of the combinations by the number X.
 10. The digital multiplication method adopting a redundant binary arithmetic of claim 9, wherein the step (b1) comprises: grouping the m bits of the number Y by consecutive (k+1) bits while consecutive groups overlap by one bit such that the last bit of each group is the first bit of the following group; classifying the k bits excluding the most significant bit in the (k+1)-bit group into t upper bits and s (≧t) lower bits; obtaining an s-bit group value by multiplying each of the s lower bits by a corresponding weighted value among a predetermined number of weighted values and summing the products; and obtaining a t-bit group value by multiplying each of the t upper bits by a corresponding weighted value among the predetermined number of weighted values, summing the products, and multiplying the sum by 2^(s), wherein the coefficients of the fundamental multiple are determined from the s-bit group values and the t-bit group values.
 11. The digital multiplication method adopting a redundant binary arithmetic of claim 10, wherein, when k is 6, the corresponding weighted values are 1, 1 and 2, and the fundamental multiple coefficients are 0, 1, 2, 3, 4, 8, 16, 24 and
 32. 12. The digital multiplication method adopting a redundant binary arithmetic of claim 9, wherein the step (b1) comprises: (b11) initializing a decimal value s_grp₁₀ of an s-bit binary number s_grp₂, when the number of lower bits of Y_(j) which is a group of consecutive (k+1) bits grouped from the m bits of the number Y while consecutive groups overlap by one bit such that the last bit of each group is the first bit of the following group, is s (where s is k−t, and t is $\left\lfloor \frac{k}{2} \right\rfloor$

(where └x┘ denotes an integer that is x or the largest one among integers that are smaller than x); (b12) obtaining the coefficient of the fundamental multiple as in the following Equation: ${{FMC}\left\lbrack {s\_ grp}_{10} \right\rbrack} = {{{s\_ grp}_{2}\lbrack 0\rbrack} + {\sum\limits_{j = 1}^{s - 1}{{{s\_ grp}_{2}\lbrack j\rbrack}*2^{j - 1}}}}$

wherein s_grp₂[i] denotes the i-th bit of S_grp₂; (b13) determining whether s_grp₁₀ is smaller than 2^(s); (b14) increasing s_grp₁₀ by 1 and repeating the step (b12), if s_grp₁₀ is smaller than 2^(s); (b15) initializing a decimal value t_grp₁₀ of a binary number t_grp₂ composed of the t upper bits of Y_(j), if s_grp₁₀ is not smaller than 2^(s); (b16) obtaining the coefficient of a fundamental multiple as in the following Equation: ${{FMC}\left\lbrack {{s\_ grp}_{10} + {t\_ grp}_{10}} \right\rbrack} = {2^{s}*\left( {{{t\_ grp}_{2}\lbrack 0\rbrack} + {\sum\limits_{j = 1}^{t - 1}\quad {{{t\_ grp}_{2}\lbrack j\rbrack}*2^{j - 1}}}} \right)}$

wherein t_grp₂[i] denotes the i-th bit of t_grp₂; (b17) determining whether t_grp₁₀ is smaller than 2^(t), and, if t_grp₁₀ is not smaller than 2^(t), repeating the step (b2); and (b18) increases t_grp₁₀ by 1 and repeating the step (b16), if t_grp₁₀ is smaller than 2^(t). 